Faculty
Tatyana Sharpee
Assistant Professor
Computational Neurobiology Laboratory

Our group works on theoretical principles of how the brain processes information. We are interested in how sensory processing in the brain is shaped by the animal's need to create parsimonious representations of events in the outside world. Our approaches are often derived from methods in statistical physics, mathematics, and information theory.
We also work on methods for analyzing neural data, including methods for analyzing neural responses to natural stimuli, such as a short video clip or sound recording during a stroll on a forest trail. In the past, scientists had to rely on simplified objects on a computer screen or random stimuli to garner information on how the brain processes visual information. Natural stimuli are often much better for probing neural responses than random noise stimuli. Using approaches designed to work with natural stimuli, we hope to achieve a more complete picture of how the brain processes information.
Education
- M.S., Physics, Ukraine National University, Kiev, Ukraine
- Ph.D., Physics, Michigan State University
- Sloan-Swartz Postdoctoral Fellow, University of California, San Francisco
Awards and Honors
- 2009 McKnight Scholar
- 2008 Ray Thomas Edwards Foundation Career Development Award in the Biomedical Sciences
- Mentored Quantitative Research Career Development Award from the National Institute of Mental Health, 2004-2009
- Alfred P. Sloan Research Fellowship 2008
- 2008 Searle Scholar
Selected Publications
- J. D. Fitzgerald and T. O. Sharpee, (2009) "Maximally informative pairwise interactions in networks", Phys. Rev. E, 80, 031914.
- Y. Liu, C. F. Stevens, and T. O. Sharpee, (2009) "Predictable irregularities in retinal receptive fields", PNAS, 38, 16499-16504.
- M. J. Kouh and T. O. Sharpee, (2009) "Estimating linear-nonlinear neural models using Renyi divergences", Network: Computation in Neural Systems, 20(2): 49-68.
- L. C. Sincich, J. C. Horton, and T. O. Sharpee, (2009) "Preserving information in neural transmission", Journal of Neuroscience, 29(19), 6207-6216.
- T.O. Sharpee and J.D. Victor, (2009) "Contextual modulation of V1 receptive fields depends on their spatial symmetry", Journal of Computational Neuroscience, 26(2): pp. 203-218.
- Tatyana O. Sharpee, Kenneth D. Miller, and Michael P. Stryker, (2008) "On the importance of the static nonlinearity in estimating spatiotemporal neural filters with natural stimuli", Journal of Neurophysiology 99(5): 2496-2509.
- T. Sharpee and W. Bialek, (2007) "Neural decision boundaries for maximal information transmission", PLoS ONE 2(7): e646.
- T. Sharpee, (2007) "Comparison of information and variance optimization strategies for characterizing neural feature selectivity", Statistics in Medicine 26 (21), pp. 4009-4031.
- T. Sharpee, H. Sugihara, A. Kurgansky, S. Rebrik, M.P. Stryker, and K.D. Miller, (2006) Adaptive filtering enhances information transmission in visual cortex, Nature 439, pp. 936-942.
- Tatyana Sharpee, Nicole C. Rust, and William Bialek, (2004) Analyzing neural responses to natural signals: Maximally informative dimensions, Neural Computation, 16 (2), pp. 223-250 2004.
- M.I. Dykman, T. Sharpee , P.M. Platzman, (2001) "Enhancement of tunneling from a correlated 2D electron system by a many-electron Mauer-type recoil in a magnetic field", Phys. Rev. Lett. 86, pp. 2408-2411 (2001).
- T. Barabash-Sharpee, M.I. Dykman, P.M. Platzman, (2000) Tunneling transverse to magnetic field, and its occurence in correlated 2D electron systems, Phys. Rev. Lett. 84 , pp. 2227-2230.
Links
- Sharpee lab
- We welcome applications to join the group. For more information please contact sharpee@salk.edu.
Salk News Releases
- Salk Scientist wins the 2009 McKnight Scholar Award, May 15, 2009
- Distinguishing between two birds of a feather, August 7, 2008
- Salk Researcher Named 2008 Searle Scholar, May 22, 2008
- Salk Researcher Receives Prestigious Sloan Research Fellowship, February 21, 2008

